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Transcript profiling distinguishes complete treatment responders with locally advanced cervical cancer.

ABSTRACT: Cervical cancer (CC) mortality is a major public health concern since it is the second cause of cancer-related deaths among women. Patients diagnosed with locally advanced CC (LACC) have an important rate of recurrence and treatment failure. Conventional treatment for LACC is based on chemotherapy and radiotherapy; however, up to 40% of patients will not respond to conventional treatment; hence, we searched for a prognostic gene signature able to discriminate patients who do not respond to the conventional treatment employed to treat LACC. Tumor biopsies were profiled with genome-wide high-density expression microarrays. Class prediction was performed in tumor tissues and the resultant gene signature was validated by quantitative reverse transcription-polymerase chain reaction. A 27-predictive gene profile was identified through its association with pathologic response. The 27-gene profile was validated in an independent set of patients and was able to distinguish between patients diagnosed as no response versus complete response. Gene expression analysis revealed two distinct groups of tumors diagnosed as LACC. Our findings could provide a strategy to select patients who would benefit from neoadjuvant radiochemotherapy-based treatment.

SUBMITTER: Fernandez-Retana J

PROVIDER: S-EPMC4415118 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature

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Transcript profiling distinguishes complete treatment responders with locally advanced cervical cancer.

Fernandez-Retana Jorge J Lasa-Gonsebatt Federico F Lopez-Urrutia Eduardo E Coronel-Martínez Jaime J Cantu De Leon David D Jacobo-Herrera Nadia N Peralta-Zaragoza Oscar O Perez-Montiel Delia D Reynoso-Noveron Nancy N Vazquez-Romo Rafael R Perez-Plasencia Carlos C

Translational oncology 20150401 2

Cervical cancer (CC) mortality is a major public health concern since it is the second cause of cancer-related deaths among women. Patients diagnosed with locally advanced CC (LACC) have an important rate of recurrence and treatment failure. Conventional treatment for LACC is based on chemotherapy and radiotherapy; however, up to 40% of patients will not respond to conventional treatment; hence, we searched for a prognostic gene signature able to discriminate patients who do not respond to the c ...[more]

PMID: 25926073

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Project description:This study is to compare the survival outcomes of laparoscopic radical hysterectomy (LRH) to those of abdominal radical hysterectomy (ARH) for patients with locally advanced cervical cancer (LACC). Patients with the International Federation of Gynecology and Obstetrics (FIGO) 2009 stage IB2 to IIB LACC who underwent radical hysterectomy between 2001 and 2015 were identified. The disease-free survival (DFS) and overall survival (OS) were compared according to the surgical approach and were adjusted based on clinicopathologic characteristics. A total of 396 patients were included in the study, with 179 (45.2%) and 217 (54.8%) patients in the ARH and LRH groups, respectively. The LRH group showed a significantly lower amount of estimated blood loss, lower blood transfusion rate and shorter length of hospital stay. Overall, there were no significant differences in the 5-year DFS and 5-year OS between the LRH and ARH groups with the Kaplan-Meier method. However, multivariate analyses identified LRH as an independent prognostic factor for a poor DFS (hazard ratio [HR] 2.5; 95% confidence interval [95% CI] 0.19 to 0.87; p = 0.02). The analysis of stage IB2 disease and the squamous subtype (61.9% and 87.9% of all participants, respectively) reached the same conclusion. When stratifying by FIGO stage, the patients with IB2 (n = 348) in the ARH group had a significantly better DFS (HR 0.14, 95% CI 0.05-0.42, p < 0.01) and OS (HR 0.17, 95% CI 0.04-0.67, p = 0.11) than those in the LRH group in the Cox regression model. However, no differences were found in patient with stage IIA1, IIA2, or IIB in Cox regression model. When stratifying by histological types, for the patients with squamous carcinomas (n = 375), in Cox model, ARH had a significantly superior DFS compared with those who underwent LRH (HR 0.45, 95% CI 0.25-0.82, p = 0.01), but the OS was not statistically significant (HR 0.57, 95% CI 0.27-1.20, p = 0.14). However, no differences were found in patient with adenocarcinoma and adenosquamous carcinomas in the Cox model. Therefore, ARH was associated with a higher DFS than LRH in patients with LACC, especially in patients with stage IB2 disease or the squamous subtype.

Dataset Information

Transcript profiling distinguishes complete treatment responders with locally advanced cervical cancer.

Publications

Transcript profiling distinguishes complete treatment responders with locally advanced cervical cancer.

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